Convolutional Neural Networks for Inverse Problems in Imaging—A Review

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Convolutional Neural Networks for Inverse Problems in Imaging—A Review

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Enabling Uncertainty Estimation in Iterative Neural Networks

Partial discharge localization in power transformer tanks using machine learning methods

Robust NAS under adversarial training: benchmark, theory, and beyond

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Text-to-Microstructure Generation Using Generative Deep Learning

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Predicting the long-term collective behaviour of fish pairs with deep learning

The multimodality cell segmentation challenge: toward universal solutions

Inverse design of metal-organic frameworks for direct air capture of CO2via deep reinforcement learning

Backpropagation-free training of deep physical neural networks